Abstract: An advection fog forecasting system and a method thereof are based on the recognition that wireless signal communication is subject to weather conditions. The system and the method involve collecting radio signals in a forecasting region that is likely to be shrouded in fog. Radio signals influenced by fog can show fog attenuation, and different levels of attenuation can be represented by different values of a radio signal strength indicator RSSI. With the variation curve of the radio signal strength indicator RSSI and weather variables, such as the humidity, the wind speed and the rainfall in the forecasting region, forecasting advection fog can be achieved.

Abstract: A state estimation apparatus includes: a current information acquisition part that acquires information about a current at a power supply part of a refrigerating/freezing apparatus; a current information storage part that holds current information in a normal state of the refrigerating/freezing apparatus; an evaluation part that derives a degree of change based on the acquired current information and the current information in the normal state of the refrigerating/freezing apparatus; a filter cleaning determination part that estimates a clogging state of a filter of the refrigerating/freezing apparatus based on the degree of change to determine whether cleaning of the filter is necessary; and an output part that provides, for a determination result indicating that the cleaning of the filter is necessary, an output to that effect.

Abstract: A method of providing gait coaching is disclosed. Run data is received and stored regarding runs of a broad and diverse population of users, as well as a more narrow set of expert users. A gait metric model is developed for determining an ideal stride length or cadence based on pace and at least one physiological characteristic. Regression coefficients for at the model are determined based on a regression of the run data from the broad and diverse population of users. In contrast, a regression constant for the model is determined based on a regression of the run data from expert users. Using the model, an ideal stride length or cadence for a particular user on a particular run can be determined and utilized to provide useful monitoring, comparison, and feedback to the user regarding his or her stride length or cadence.

Abstract: An assembly allows detecting an intrusion into an appliance that includes a chamber(s). At least one wall relating to one and the same chamber is designed, so as to form a chamber opening allowing to access at least one appliance chip. The assembly includes at least one baffle that is, each, disposed at the chamber opening. The assembly includes at least one chip that comprises a baffle manager. The baffle manager is configured to cause the at least one baffle to move repeatedly between a first and a second position with respect to the chamber opening, during an appliance chip operation. The baffle manager is configured to detect whether a baffle movement is slowed or blocked during the appliance chip operation. If yes, the baffle manager is configured to send a predetermined signal(s) for alerting the appliance chip or a device(s) or take an action(s).

Abstract: The embodiments herein describe a forecasting system that uses captured images or a location to generate a weather forecast for that location. As used herein, a hyper-location is any location where images of that location are available to the forecasting system. For example, a hyper-location can be an airport where a security camera can provide historical images of the weather conditions at the airport. In one embodiment, the forecasting system can extract attributes from the images that indicate the historical weather conditions at the hyper-location. The forecasting system can then use those weather conditions to select which one of a plurality of historical scenarios best matches the weather conditions. The selected scenario can then be used to train a machine learning (ML) model that tunes a weather forecast for that location.

Abstract: System and methods for geosteering inversion are provided. A downhole tool's response along a path of a wellbore to be drilled through a formation is predicted over different stages of a downhole operation, based on each of a plurality of initial models of the formation. Each initial model represents a different number of formation layers over a specified range. The tool's actual response with respect to one or more formation parameters is determined, based on measurements obtained during a current stage of the operation. The actual response is compared with that predicted from each of the initial models. At least one of the models is selected as an inversion model, based on the comparison and a selection criterion. Inversion is performed for subsequent stages of the operation along the wellbore path, based on the selected model. The wellbore path is adjusted for the subsequent stages, based on the inversion results.

Abstract: The system as described collects and utilizes weather data sensor information in order to rapidly collect and update weather forecasts using real-time weather data collected at high rates of frequency, and use this collected high frequency weather data to rapidly correct and update the weather forecasts generated by the system.

Abstract: The data processing device includes: an extraction condition input unit receiving waveform data including a change point of a state of a device, parameter information about the waveform data, and transition information of the device; a similarity calculation unit calculating similarity between time-series data of the device and the waveform data; an operating mode determination unit setting the state of the device on the basis of the transition information of the device; a change point detection unit detecting the change point from the time-series data of the device on the basis of the calculated similarity and the determined state of the device, and setting a start time of a segment which is a subsequence of the time-series data and an end time of the segment; and an information output unit outputting, as segment information, the state of the device, the start time and the end time of the segment.

Abstract: In order to improve the adaptability of diagnosis of an operating state of a field device, a field device 10 according to the present disclosure has a diagnoser 17 configured to diagnose an operating state of the field device 10 by hierarchically implementing a plurality of diagnostic processes. The diagnoser 17 can select whether to enable or disable a diagnostic result of at least one diagnostic process of a plurality of diagnostic processes in a diagnostic process after the one diagnostic process.

Abstract: Computing system assessment of geological similarity of wells employing well-log data includes receiving logs with chronostratigraphic markers, and extracting signatures from the logs using the chronostratigraphic markers. A distance matrix is generated from the signatures using dynamic time warping. Using the distance matrix, a set of clusters are generated. The set of clusters are presented with an image.

Abstract: A method and system for resistivity imaging. A method may comprise disposing a downhole tool into a borehole, applying a voltage difference between the array of injector electrodes, constructing a first set of formation images for each of the plurality of frequencies, applying a mud effect removal algorithm to produce a second set of formation images for each of the plurality of frequencies, applying a dielectric correction algorithm to each of the plurality of frequencies to produce a third set of formation images for each of the plurality of frequencies, and combining the first set of formation images, the second set of formation images, and the third set of formation images to obtain a blended image. A system for resistivity imaging may comprise a downhole tool. The downhole tool may comprises a pad, an array of injector electrodes, and one or more return electrodes.

Abstract: In an information processing device according to the present invention, an acquisition unit is configured to acquire a plurality of values related to a state quantity of a target device. An extraction unit is configured to extract a state value group constituted by a plurality of values related to an identical state quantity from the acquired plurality of values. A specification unit is configured to specify a value to be used to manage the target device from the state value group based on reliabilities of the values included in the state value group.

Abstract: A data processing device that processes three-dimensional data having time, intensity, and wavelength collected from a sample serving as a measurement target includes: a chromatogram generator configured to generate a chromatogram from the three-dimensional data; a target peak determiner configured to determine a target peak from peaks appearing on the chromatogram; a time point specifier configured to specify a time point at which the size of a spectrum matches the size of a reference spectrum from a time range during which the target peak appears in the three-dimensional data; and a target spectrum generator configured to extract data at the time point from the three-dimensional data, thereby generating a spectrum at the time point. With this configuration, a spectrum that is not affected by distortion, saturation, or noise can be readily and reliably obtained from the three-dimensional data obtained through sample analysis.

Abstract: The invention provides an estimation method for state of charge (SOC) of battery. A reference SOC is inquired from a look-up table based on a voltage of battery detected. A voltage threshold is subtracted from the voltage of battery to obtain a voltage difference. A current SOC or the reference SOC is divided by the voltage difference to obtain a first slope or a second slope. The first slope is divided by the second slope to obtain an adjustment ratio. An electric charge capacity for charging the battery is counted by a coulomb counting method to obtain a count capacity of discharging that is multiplied by the adjustment ratio to obtain an adjustment value. The adjustment value is subtracted from a previously recorded remaining capacity to obtain a new remaining capacity. The new remaining capacity is divided by a full charge capacity to estimate a new SOC of battery.

Abstract: A battery system of an electric vehicle is disclosed. The battery system can include at least a first battery string including a number of battery modules, wherein the first battery string has an output that is coupled to the first power bus through a string switch, and wherein each of battery modules includes a plurality of battery cells connected in series. The battery system can also include a number of battery module monitors, wherein each of the battery module monitors is coupled to the battery cells of a corresponding one of the battery modules. The battery system can further include module monitor protection circuitry coupled to each of the battery module monitors, wherein the module monitor protection circuitry includes a plurality of protection circuits.

Abstract: A method for evaluating a consistency of a battery pack is provided, including: obtaining an initial/real rated capacity and an initial/real dischargeable electric quantity of each cell in a battery pack after a charge and discharge cycle of the battery pack; generating a first/second data diagram for every cells based upon the initial/real rated capacity and the initial/real dischargeable electric quantity; obtaining a first/second information of key cells in the first/second data diagram, defining an initial/real cell distribution region according to the first/second information by processing the first/second data diagram, and calculating a first/second area of the initial/real cell distribution region; and evaluating the consistency of the battery pack according to the first/second area. A strategy for balancing the battery pack is further provided.

Abstract: A scientific instrument for measuring neutral atmospheric conditions at satellite altitudes is provided. In an illustrative embodiment, the scientific instrument includes an ion gauge configured to measure ion pressure. The scientific instrument also includes a lid covering the ion gauge. The lid includes a plurality of slits. The scientific instrument also includes an aperture plate that includes an aperture opening. The aperture plate is configured to rotate such that each of the slits are periodically exposed by the aperture opening to allow a neutral beam flux to enter the ion gauge.

Abstract: A computing system may create an anomaly detection model to detect anomalies in multivariate data originating from a given data source by extracting a model object for the anomaly detection model using a first set of training data originating from the given data source, establishing starting values of a set of anomaly thresholds for the anomaly detection model using the extracted model object and a second set of training data originating from the given data source, and refining the starting values of the set of anomaly thresholds for at least a subset of the variables included in the multivariate data using the extracted model object and a set of test data. In turn, the computing system may use the anomaly detection model to monitor for anomalies in observation data originating from the given data source.

Abstract: The present invention discloses a sensing-acquisition-wireless transmission integrated microseismic monitoring system, comprising a sensing unit, wherein the system further comprises an acquisition-wireless transmission unit. The acquisition-wireless transmission unit comprises a flameproof enclosure, an acquisition instrument, a battery, a wireless transmitter and a transmitting antenna. A push nut is arranged at an open end of the flameproof enclosure. A support stage is sheathed on an outer wall of the flameproof enclosure. A connection ring is movably sheathed on the open end of the flameproof enclosure. The push nut is connected to the connection ring. Multiple inner wing elastic plates are circumferentially arranged on the connection ring. The inner wing elastic plates are connected to corresponding expandable plate outer wings, respectively. The present invention further discloses a sensing-acquisition-wireless transmission integrated microseismic monitoring method.

Abstract: A precipitation index estimation apparatus includes an operation mode data collection unit and an estimation processing unit. The data collection unit is configured to collect operation mode data indicating an operation mode of a windshield wiper, acquired in one or more vehicles positioned in a predetermined area within a predetermined period. The estimation processing unit is configured to estimate a precipitation index indicating an intensity of precipitation in the predetermined area within the predetermined period, based on a proportion of each of a plurality of kinds of operation modes, which is derived from the collected operation mode data.